Search Results - (( web application ((tree algorithm) OR (new algorithm)) ) OR ( _ application design algorithm ))*

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    An optimized attack tree model for security test case planning and generation by Omotunde, Habeeb, Ibrahim, Rosziati, Ahmed, Maryam

    Published 2018
    “…By leveraging on the optimized attack tree algorithm used in this research work, the threat model produces efficient test plans from which adequate test cases are derived to ensure a secured web application is designed, implemented and deployed. …”
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    Article
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    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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    Article
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    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
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    Thesis
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    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS by MEHMOOD SHAH, SYED NASIR

    Published 2012
    “…Thus, overall aim of this research is to introduce new grid scheduling algorithms for resource allocation as well as for job scheduling for enabling a highly efficient and effective utilization of the resources in executing various applications. …”
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    Thesis
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    Car dealership web application by Yap, Jheng Khin

    Published 2022
    “…Thus, explainable AI and AI monitoring become the integral components for any new development of commercial applications, including used car dealership web application. …”
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    Final Year Project / Dissertation / Thesis
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    Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms by Hydara, Isatou

    Published 2024
    “…Cross-site scripting (XSS) vulnerabilities are a major security threat for both desktop and mobile web applications. They occur due to lack of proper verification of the user inputs, which enables hackers to inject and execute malicious scripts in the web pages of an application. …”
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    Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

    Published 2011
    “…Besides, this algorithm provides home users or application developers to implement their own event operators with bespoke syntax for their application purpose by defining cross-events corresponding to the event operators. …”
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    Thesis
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    Automatic marking system for programming subject by Chan, Jin Yee

    Published 2023
    “…This project is a web application designed for lecturer that teaching programming subject to automatically mark programming algorithm exercise. …”
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    Final Year Project / Dissertation / Thesis
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    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…The study on related work and comparison of algorithm also has been done in this phase. In Design phase, the use case diagram, whole system flowchart and subsystem flowchart has been constructed to assist the development of this web tool. …”
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    Thesis
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    Job recruiting system using sorting Algorithm / Adi Asyraf Ayob by Ayob, Adi Asyraf

    Published 2020
    “…The sorting algorithm will assist the recruiters in selecting best job candidate by assigning score to each applicants and sort the applicant list by the finest score value. …”
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    Thesis
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    Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina

    Published 2022
    “…Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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    Article
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